VectorMind
8 Topics · 4 Learning Paths · vectormind.in

Where intelligence
becomes learnable.

Rigorous, structured learning for large language models, transformers, RAG pipelines, fine-tuning, and AI agents. No hype — just deep understanding.

8
Core Topics
47
Key Concepts
4
Learning Paths
39+
Study Hours
Curriculum

Eight topics that matter.

Each topic is a self-contained module — read in sequence or jump to what your work demands right now.

Architecture6 hrs

Transformer Architecture

The backbone of modern AI

Self-AttentionMulti-Head AttentionPositional Encoding+2 more
FoundationalExplore
Architecture8 hrs

Large Language Models

Scale, emergence, and capabilities

Pre-trainingScaling LawsEmergent Abilities+2 more
FoundationalExplore
Techniques4 hrs

Prompt Engineering

The art of talking to models

Chain-of-ThoughtFew-Shot LearningSystem Prompts+2 more
FoundationalExplore
Techniques10 hrs

Retrieval-Augmented Generation

Grounding models in your data

Vector EmbeddingsSemantic SearchChunking Strategies+2 more
IntermediateExplore
Techniques12 hrs

Fine-tuning & Alignment

Teaching models to follow instructions

LoRAQLoRARLHF+3 more
AdvancedExplore
Applications9 hrs

AI Agents & Tool Use

From language to action

ReAct FrameworkFunction CallingAgent Memory+2 more
IntermediateExplore
Infrastructure5 hrs

Vector Databases

The memory layer of AI systems

ANN AlgorithmsHNSW IndexingMetadata Filtering+2 more
IntermediateExplore
Architecture8 hrs

Multimodal AI

Vision, language, and beyond

Vision TransformersCLIPImage Tokenization+2 more
AdvancedExplore
Structured Learning

Pick your path.

Curated sequences from AI fundamentals to production-grade engineering. Know where you stand and exactly where to go next.

Beginner3 weeks

AI Foundations

Build a rigorous mental model of how modern AI systems work before writing a single line of code.

3 topics
Intermediate5 weeks

Practical LLM Builder

Go from API calls to production-grade AI applications. Build RAG pipelines, chatbots, and document processors.

4 topics
Advanced8 weeks

AI Engineer Track

Master the full stack of AI engineering: from fine-tuning models to deploying multi-agent systems at scale.

6 topics
Advanced6 weeks

Research Fundamentals

Understand the research papers that matter. Learn to read, implement, and build upon state-of-the-art AI research.

4 topics
Philosophy

Not tutorials.
Understanding.

The internet is full of AI tutorials. VectorMind is different — we start with the mechanisms. When you understand why attention works, you stop copying prompts and start writing them. When you understand training dynamics, you know when to fine-tune and when not to.

Built for engineers, researchers, and curious builders who want to work at the frontier — not just consume it.

Paper-backed content
Every claim traces back to the research. We cite papers, not blog posts.
Code-first explanations
Concepts are anchored in working code. No pseudocode, no hand-waving.
Fast to production
Theory with clear paths to real applications. No academic dead-ends.

The intelligence era is now.
Build fluency for it.

Start with any topic. Follow a path. Come back when your next project demands more depth.

Begin with Transformers